OLED Image Converter

A dedicated online tool to convert images into OLED-friendly formats, enabling developers and designers to optimize icons and assets for low-power displays.

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3,928+

Total Calculations Run

< 15ms

Browser Execution Speed

100%

Client-Side Privacy

4.9 / 5.0

User Satisfaction

Worked Example & Common Values

Below is a sample worked calculation demonstrating how OLED Image Converter processes input data instantly inside your browser.

Sample Input Birth date: Jan 15, 1995, Target date: Oct 20, 2023

Computed Result Chronological Age: 28 Years, 9 Months, 5 Days (10,505 days elapsed)

Execution Mode Client-Side In-Browser JS

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About This Tool

This tool converts input images into OLED-friendly formats by quantizing color to a chosen palette, applying dithering, and optionally resizing to target dimensions. It focuses on preserving edge detail while maximizing the perceived contrast on OLED screens.
Conceptually, the process includes color space conversion to sRGB, color quantization to the selected depth, and spatial resampling. It provides options for 1-bit monochrome, 2-bit grayscale, or limited-color palettes suitable for iconography.
Beneficiaries include firmware developers, UI designers, and hobbyists who deploy icons and graphics on microcontrollers or embedded displays. The tool outputs a downloadable image file and, in some cases, a hex-dump or array suitable for embedded assets.
Unique value lies in combining palette control, dithering strategies (Floyd-Steinberg, ordered), and pixel-depth aware scaling in a single workflow, reducing iteration time and ensuring consistent OLED rendering.

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How to Use

Upload input image to be converted.
Select target color depth (1–8 bits) and preferred dithering method.
Optional: set target width and height in pixels to match device constraints.
Run conversion and download the resulting image or hex array.
Integrate the output into your OLED asset pipeline and test on target hardware.

Frequently Asked Questions

Find Quick Answers

What input formats are supported?

Supported formats include PNG, JPEG/JPG, and BMP. Transparent input is composited against the chosen background or converted to opaque colors based on the selected depth.

Which palettes are available?

Supports 1-bit black/white, 2-bit grayscale, and user-defined 8-bit palettes. Dithering can be enabled to preserve detail in limited-color outputs.

Can I resize the image during conversion?

Yes. Specify target width and height in pixels. Aspect ratio is preserved by default unless you explicitly adjust the settings to alter it.

What is the output format?

The primary output is a downloadable image file (PNG) at the chosen color depth. Optionally, a hex or binary array can be exported for embedding in firmware.

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